SeppeKuehnLab
@seppekuehnlab.bsky.social
1.6K followers 1.3K following 190 posts
Physics and biology of microbial communities. Structure, function, evolution. Center for the Physics of Evolving Systems. Dept. of Ecology and Evolution. UChicago. @NITMB, @CLS. kuehnlab.org
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seppekuehnlab.bsky.social
New paper in @nature.com! With @kiseokmicro.bsky.social , Siqi Liu, Kyle Crocker, Jojo Wang, Mikhail Tikhonov & Madhav Mani — a massive dataset and simple model reveal a few conserved regimes that capture how soil microbiome metabolism responds to perturbations. www.nature.com/articles/s41...
seppekuehnlab.bsky.social
Center for Living Systems -- seeking strong post docs at the interface of physics and biology. Consider applying by Oct. 13! docs.google.com/forms/d/e/1F...
docs.google.com
seppekuehnlab.bsky.social
Super well written and informative.
seppekuehnlab.bsky.social
For me, it speeds up coding by 10x easily. But it requires that you already know what you're doing with your data -- why, and how... and then requires validation. Clearly not a PhD in the pocket.
seppekuehnlab.bsky.social
Wait, this is news? Gulp.
seppekuehnlab.bsky.social
RevTex is far and away the best IMO.
seppekuehnlab.bsky.social
This important contribution sharpens the ill-defined concept of functional redundancy in microbial communities. It's a term we use a lot, but the exact meaning is elusive, and this paper is the first to sharpen it via proper null models. @ po-yi ho and KC Huang. www.sciencedirect.com/science/arti...
Challenges in interpreting functional redundancy and quantifying functional selection in microbial communities
Microbiomes often show similar functional profiles despite highly variable taxonomic compositions, a phenomenon attributed to “functional redundancy” …
www.sciencedirect.com
Reposted by SeppeKuehnLab
nitmb.bsky.social
Mathematical Frameworks for Stability, Evolution, and Control in Microbial Communities

Explore new NITMB-Supported Research from @ssm57.bsky.social (Professor, University of Illinois Urbana-Champaign) and @seppekuehnlab.bsky.social (Associate Professor, University of Chicago)!

tinyurl.com/378ua7ws
Reposted by SeppeKuehnLab
const-ae.bsky.social
Our paper benchmarking foundation models for perturbation effect prediction is finally published 🎉🥳🎉

www.nature.com/articles/s41...

We show that none of the available* models outperform simple linear baselines. Since the original preprint, we added more methods, metrics, and prettier figures!

🧵
Beeswarm plot of the prediction error across different methods of double perturbations showing that all methods (scGPT, scFoundation, UCE, scBERT, Geneformer, GEARS, and CPA) perform worse than the additive baseline. Line plot of the true positive rate against the false discovery proportion showing that none of the methods is better at finding non additive interactions than simply predicting no change.
seppekuehnlab.bsky.social
The “infer phenotypic traits” claim seems a bit of an overshoot given the training data does not include phenotypes. What we get is genomic patterns….and that itself can be super interesting, but the connect to phenotypes? How?
Reposted by SeppeKuehnLab
seppekuehnlab.bsky.social
Great thread! The sickle cell- malaria example blew me away and was news to me!
Reposted by SeppeKuehnLab
martinadalbello.bsky.social
📢 We're seeking a postdoc to work on a project funded by HFSP @hfspo.bsky.social at the intersection of bacterial physiology, ecology and evolution. You can find more details about the project, the position, and how to apply here www.dalbellolab.com/hfsp-project! #bacteria #ecosky #MevoSky #microSky
HFSP project — dal bello lab
www.dalbellolab.com
Reposted by SeppeKuehnLab
petrovadmitri.bsky.social
Excited to report that Joy Bergelson (bergelsonlab.org) and I will be running a brand new GRC conference on the Function of Evolving Systems in the summer of 2026. The 2028 one will be chaired by Mikhail Tikhonov (physics.wustl.edu/people/mikha...) and @asanchezlab.bsky.social! Stay tuned!
Faculty
physics.wustl.edu
Reposted by SeppeKuehnLab
danielcooney1.bsky.social
I am really happy to share that there will be a @nitmb.bsky.social workshop next year on mathematical and biological features of evolutionary game theory.

It was really fun to co-organize this workshop with Olivia Chu, Alex McAvoy, and @jplotkin.bsky.social.

www.nitmb.org/evolutionary...
Evolutionary Games: Mathematical Theory and Biological Insights
www.nitmb.org
Reposted by SeppeKuehnLab
ksxue.bsky.social
The Xue lab at UC Irvine is looking for a staff scientist to support our work investigating how microbes interact and evolve in the gut microbiome! Open to a wide range of previous experience levels, see ad for more.
recruit.ap.uci.edu/JPF09601
Junior, Assistant, or Associate Specialist – Xue Lab
University of California, Irvine is hiring. Apply now!
recruit.ap.uci.edu
seppekuehnlab.bsky.social
This work was supported by @nitmb.bsky.social, National Science Foundation, NIH, @cziscience.bsky.social , Simons Foundation, UChicago. bsky.app/profile/sepp...
seppekuehnlab.bsky.social
New paper in @nature.com! With @kiseokmicro.bsky.social , Siqi Liu, Kyle Crocker, Jojo Wang, Mikhail Tikhonov & Madhav Mani — a massive dataset and simple model reveal a few conserved regimes that capture how soil microbiome metabolism responds to perturbations. www.nature.com/articles/s41...
seppekuehnlab.bsky.social
THANKS! To all those involved and the work this was built on. Especially important for us were the classic Jim Tiedje papers of 80s and 90s and the work that started in our group with @karnagowda.bsky.social + Kyle Crocker.
seppekuehnlab.bsky.social
31 Finally - take the data seriously! The model hewed closely to the data – and as a result it made specific quantitive predictions. Right or wrong predictions are a necessity… Without them we will be stuck debating semantics. You often learn a lot (more!) from failed predictions too.
seppekuehnlab.bsky.social
30 Another lesson is to focus on function - sequencing and ‘omics technologies are high powered, but they can act like an out of control fire hose without a quantitative, often higher level, collective property of the system. This means not neglecting the ‘simple’ measurements.